Introduction to High-Level System Design

Introduction: Understanding Payment Gateway Architecture

A payment gateway is a secure service that processes online transactions between customers, merchants, and financial institutions. It plays a crucial role in e‑commerce by enabling real‑time transaction authorization, multi‑payment method support, and compliance with industry standards. Understanding payment gateway architecture is essential for developers aiming to build scalable, secure, and compliant payment solutions.

What Is a Payment Gateway and How Does It Work?

A payment gateway acts as the digital equivalent of a point‑of‑sale terminal, handling:

  • Transaction Authorization: Verifies and approves payments instantly.
  • Multi‑Payment Support: Accepts credit cards, UPI, wallets, net banking, EMI, and more.
  • Security & Compliance: Ensures PCI‑DSS adherence, end‑to‑end encryption, and AI‑based fraud detection.
  • Bank & Processor Integration: Connects seamlessly with acquiring banks and card networks.
  • API & SDK Support: Offers developer‑friendly REST APIs and mobile SDKs for quick integration.

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What Is a Payment Gateway and How Does It Work

Key Functional Requirements for a Payment Processing Platform

To deliver a robust payment gateway, the system must include:

Secure User Authentication

  • Enforce strong password policies, session management, and two‑factor authentication (2FA).
  • Provide separate flows for merchants and customers to manage their accounts safely.

Comprehensive Payment Processing

  • Initiate, authorize, capture, refund, and settle transactions through dedicated endpoints.
  • Support partial and full refunds with transparent status tracking.

Multi‑Payment Method Integration

  • Enable credit/debit cards, UPI, digital wallets, net banking, and EMI options.
  • Tokenize payment credentials to reduce PCI scope and enhance security.

AI‑Driven Fraud Detection

  • Implement machine learning models for anomaly detection and real‑time risk scoring.
  • Integrate continuous monitoring to flag suspicious activities before settlement.

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Merchant and Customer Management

  • Offer onboarding workflows, KYC verification, and support dashboards.
  • Track transactions, generate invoices, and manage subscription lifecycles.

Notifications and Alerts

  • Send real‑time SMS, email, push notifications, and webhooks for critical events.
  • Maintain logs for audit trails and compliance reporting.

Non‑Functional Requirements and Performance Goals

Meeting non‑functional requirements ensures a seamless payment experience under high load:

  • Scalability: Architect for 20,000 peak transactions per second (TPS) with horizontal scaling and database sharding.
  • High Availability: Target 99.99% uptime using redundant clusters, load balancers, and failover strategies.

  • Low Latency: Aim for sub‑100 ms response times from authorization to confirmation.
  • Security & Compliance: Maintain PCI‑DSS certification, RBI guidelines, AES‑256 encryption, and tokenization.

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Non‑Functional Requirements and Performance Goals

Capacity Planning: Storage, Bandwidth, and Constraints

When estimating capacity in an India‑region deployment:

Metric

Estimate

Daily Transactions

50 million

Peak TPS

20,000

Average Transaction Payload

3 KB

Transaction Logs (Text)

150 GB/day (≈273 TB/5 years)

Media Storage (Invoices, KYC)

5 PB/5 years

Peak Bandwidth

500 MB/sec

Average Bandwidth

250 MB/sec

Infrastructure constraints include database scaling, network throughput, and compliance‑grade encryption.

Designing RESTful APIs for Payment Gateways

A clear API layer improves developer experience and integration speed:

  • Authentication APIs

    • POST /api/auth/register – Register merchants and users.

    • POST /api/auth/login – Generate JWT tokens.

    • POST /api/auth/logout – Revoke sessions.

  • Payment APIs

    • POST /api/payments/initiate – Create payment intent.

    • GET /api/payments/status/{id} – Retrieve transaction status.

    • POST /api/payments/capture – Capture authorized funds.

    • POST /api/payments/refund – Initiate refunds.

  • Merchant & Customer Management

    • POST /api/merchants/create – Onboard new merchants.

    • GET /api/merchants/{id}/transactions – List merchant transactions.

    • POST /api/customers/add-card – Tokenize a new card.

    • DELETE /api/customers/remove-card/{cardId} – Delete stored payment method.

  • Notification APIs

    • POST /api/notifications/send – Push alerts.

    • GET /api/notifications/history – Fetch notification logs.

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Data Model Best Practices for Transaction Systems

An optimized schema ensures data integrity and fast queries:

  • Users: Stores profile, verification status, timestamps.
  • Payment Methods: Tokenized card or wallet details linked to users.
  • Transactions: Tracks amount, currency, status, gateway references.
  • Invoices & Subscriptions: Manages billing cycles, payments, and renewals.
  • Refunds: Handles partial and full refund records.
  • Logs: Captures audit trails for compliance and troubleshooting.

High‑Level Microservices Architecture

Breaking the gateway into core services enhances maintainability:

User Management Service

Handles registration, KYC, authentication, and profile updates.
Ensure robust access control using OAuth and JWT tokens.

Payment Processing Service

Integrates with external processors (Stripe, Razorpay) for authorization, capture, and settlement.
Scale stateless instances behind a load balancer to meet peak TPS.

Subscription & Billing Service

Manages recurring payment plans, invoice generation, and dunning workflows.
Automate notifications for renewals and cancellations.

Notification & Logging Service

Delivers real‑time alerts via email, SMS, push, and webhooks.
Aggregate logs in centralized stores for audit and analytics.

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Inter‑Service Communication Patterns

Efficient communication is key to reliability:

  • API Gateway: Single entry point with routing, authentication, and rate limiting.
  • Message Queues (Kafka, RabbitMQ): Asynchronous processing for fraud checks and notifications.
  • Service Mesh (Istio, Linkerd): Secure service discovery, traffic management, and observability.
  • Event Streaming: Real‑time updates across services for payment status and subscription events.
  • Webhooks: Notify external systems of transaction outcomes.

Strategies for Scaling and Optimization

  1. Horizontal Scaling: Add service instances to distribute load.
  2. Caching: Use Redis or Memcached for session data and frequently accessed records.
  3. Asynchronous Processing: Offload tasks like fraud analysis and invoice generation to background workers.
  4. Database Sharding & Replication: Partition data by merchant or region to maintain low latency.

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Strategies for Scaling and Optimization
This insightful blog post is authored by Rohit Chilhorkar who brings his expertise and deep understanding of the topic to provide valuable perspectives.

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